RPA is the application of technology governed by business logic and structured inputs, aiming to automate business processes. Using RPA tools, a company can configure software or a robot to capture and interpret applications to process a transaction, manipulate data, boostresponses, and communicate with other digital systems. RPA scenarios range from something as simple as generating an automatic response to an email to deploying thousands of bots, each programmed to automate tasks in an ERP system.
More and more companies are turning to Robotic Process Automation to streamline company operations and reduce costs.With RPA,companies can automate business processes based on rules, allowing business users to dedicate more time to serving customers or other activities of equal value. Others see RPA as an intermediate point on the way to intelligent automation via Machine Learning tools (ML) and Artificial Intelligence (AI).
The use of screen scraping, and workflow automation is still the foundation of an RPA. Instead of being code dependent, such as screen scraping, RPA software allows people to set up automation and manage workflows using features like “drag and drop”, totally visual and independent forms of programming knowledge. Also, unlike other screen scraping tools, some RPA software uses
Optical Character Recognition (OCR). With this, it is possible to adapt to the constant changes of websites without needing the constant intervention of a human employee.
This is possible because the RPA is also built with Artificial Intelligence. We can say the RPA is the combination of Artificial Intelligence and Automation. RPA robots are programmed to manipulate data and applications in the same way that a person would, using the software.
In project management, RPA comes as a great supporter in the productivity of the teams, who start to focus their efforts on more strategic actions, leaving repetitive actions and with fewer added values for automation.
For the project manager, using the RPA means giving more autonomy for the team to develop more adherent solutions, reducing the time commitment to work with operational tasks. It gives even more.Security concerning these actions, which has the chance of errors reduced to zero, ensuring more assertiveness in the process routine.
Intelligent Automation (IA) is a product of Robotic Process Automation (RPA) and artificial intelligence (AI) technologies which together empower rapid end-to-end business process automation and accelerate digital transformation. To extend the horizons of business process automation by an order of magnitude, Intelligent Automation combines the task execution of RPA with the machine learning and analytics capabilities of automatic process discovery and process analytics, like computer vision, Natural Language Processing, and fuzzy logic.
According to Forrester data, intelligent automation will generate $ 134 billion in work value by 2022, enabling companies to shift staff, skills, and investments to critical functions such as innovation, increasing customer experience or operational efficiency. Holistic intelligent automation This technology is extremely efficient, as RPA automation robots recognize patterns, perform communication between systems, adapt, make decisions, and do a wide variety of repetitive tasks.
The big difference is that the robot does not need to sleep, does not make mistakes, and optimizes operating expenses.As a result, your team is free to focus on tasks that bring value to the company, those that require sensitivity and critical reflections.
RPA offers companies the ability to cut personnel costs and human error. David Schatsky, director of Deloitte LP, points to a bank’s experience with the implementation of RPA, in which the bank redesigned its customer service process by implementing 85 bots to run 13 processes, handling 1.5 million requests per year. The bank added capacity equivalent to more than 200 full-time employees, with approximately 30% of the cost of recruiting more employees, says Schatsky.
Bots are usually low cost and easy to implement. These characteristics are crucial since organizations seek growth without adding significant expenses or friction among workers.
Companies can also further improve their automation efforts by injecting RPA with cognitive technologies such as Machine Learning, speech recognition and Natural Language Processing (NLP), automating high-order tasks that, in the past, required human perception and judgment skills.
What distinguishes process automation with RPA from traditional IT automation is the use of robot software, which can adapt to changing circumstances, exceptions, and new situations.
Once an RPA tool creates the robot software, it will have the ability to capture and interpret the specific software processes that employees already operate, it can manipulate data, trigger responses, initiate new actions and communicate with other systems autonomously.
will orchestrate hundreds, if not thousands, of events across business processes. It’s the Holy Grail that UiPath, Automation Anywhere and Blue Prism are chasing, along with dozens of start-ups like Kryon and AntWorks.
Automation Anywhere is part of a growing group of vendors who create “bots” that use sophisticated algorithms to manage business processes from start to finish.
The company, which has so far implemented more than 2 million enterprise bots, is currently testing; Discovery Bot with some better customers. RPA alone can automate these tasks, but Discovery Bot can prioritize tasks based on potential business value and deploy RPA bots to perform them.
UiPath uses machine learning to improve two challenging tasks for RPA: how bots view what’s on computer screens and how to parse documents for processing.
RPA tools depend on a bot’s ability to see elements on a web page or user interface. However, a virtual desktop interface (VDI) does not have a traditional user interface rather; it transmits an image of a remote desktop, making it impossible for bots to recognize items.To solve this problem, UiPath is
Incorporating computer vision into its bots, which leverages machine learning, optical character recognition, and fuzzy matching,“to automatically identify elements in an application and perform tasks,” Param Kahlon. Chief Product Officer of UiPath,